Manager, Analytics Engineering

Summary

Join Penn Interactive as a Manager, Analytics Engineering and contribute to developing high-quality data-driven solutions to improve profitability, growth, and user experience.

Requirements

• University degree in Computer Science, Business, Engineering or other STEM field
• 4+ years of experience in analytics, preferably at a digital company and ideally some of which was in a leadership capacity
• A fundamental grasp of Kimball Dimensional Modelling
• The ability to liaise with stakeholders and upstream Data Engineers around requirements gathering, well-defined deliverables, and setting appropriate expectations
• A passion and curiosity for solving analytical problems using quantitative approaches
• Good communication skills (written and verbal); Ability to take complex data and present it in a clear manner to cross-functional groups
• Strong Knowledge of relational databases & engineering best practices, (e.g. SQL, DBT, Git, Airflow and CI/CD)
• Hands-on experience with dbt, including building/deploying models & documentation
• Experience with modern data exploration & analysis tools such as Looker/Python
• Attention to detail and desire for end-to-end ownership of deliverables
• Self-motivated, proactive, and fairly autonomous; comfortable working in a fast-paced environment
• Collaborative with a positive attitude, interest in learning, and strong sense of empathy

Responsibilities

• Provide guidance on describing and designing enterprise level presentation layer data sets, integrating data sources and evaluating performance using statistical methods and data modeling best practices
• Liaise with stakeholders to identify data driven projects and opportunities and data engineers to build data pipelines and solve related issues
• Manage Airflow tasks and scheduling
• Assist & mentor team members in solving data issues, analyses and modeling
• Identify opportunities to apply data modeling and advanced analytics techniques to drive insights
• Oversee team's output and analysis to ensure data and insights shared are accurate and informative
• Provide support on hiring, onboarding and continued professional development including but not limited to mentoring Data Analysts and Analytics Engineers
• Help evangelize fellow team members and business stakeholders on how to become self-serving in all areas of data analytics, inclusive of data queries and building their own data visualizations
• Help to define and improve our internal standards for style, maintainability, best practices, and new tools and methodologies for our analytics infrastructure
• Coach and develop a team of Analytics Engineers to maximize strengths and develop strong, collaborative partnerships within the Data Team and across business functions
• Review accuracy of all data, results, and conclusions of the team, coaching team members to reach a high data standard

Benefits

• Competitive compensation package
• Comprehensive Benefits package
• Fun, relaxed work environment
• Education and conference reimbursements